File size: 42,491 Bytes
a50119d 17ef39e a50119d 17ef39e a50119d 17ef39e a50119d 17ef39e a50119d 17ef39e a50119d 17ef39e a50119d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 |
---
library_name: setfit
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
widget:
- text: If the Probable Cause Committee determines that charges should be filed, the
respondent is notified of the specific nature of the charges and the Board's proposed
settlement of the issues. Said notice shall be sent by certified mail, return
receipt requested, to the respondent's last known address. If a hearing is to
be scheduled, the notice shall be sent by certified mail, return receipt requested,
to the respondent's last known address not less than ten (10) days before the
date of the scheduled hearing. The Board will conduct the hearing with the assistance
of a hearing officer, who will hear all competent and relevant evidence in support
of the charges. The hearing will be conducted in accordance with the Alabama Administrative
Procedures Act, Section 41-22-13, Code of Ala. 1975. Upon conclusion of the hearing,
the members of the Board (excluding the Probable Cause Committee Board member)
will determine the appropriate action to be taken, and shall notify, or cause
to be notified, the respondent of such action. If the Board suspends or revokes
a registration, or issues a reprimand or fine against the respondent, he or she
may appeal to the Circuit Court of Montgomery County, Alabama.
- text: Definitions governing the construction of this subchapter can be found in
Chapter 1, Section 790 of this subdivision.
- text: Any decision to deny, restrict or limit an inmate of any right, service, item
or article, guaranteed an inmate by the provisions of this Part, shall be done
in accordance with section 7075.5 of this Title.
- text: 'After a port drayage motor carrier has been placed on the public list, the
Labor Commissioner shall remove the motor carrier from the list within 15 business
days upon the following: (a) The Labor Commissioner''s Office determines after
review of submitted documents specified in subsections (1), (2), and (3) that
there has been full payment of an unsatisfied judgment or any other final liability
for all violations identified in Labor Code sections 2810.4(b)(1)(A)-(B) or that
the port drayage motor carrier has entered into an approved settlement dispensing
of the judgment or liability; or, in the case of a subsequent liability against
a prior offender, the prior offender prevailed in an appeal. (1) A port drayage
motor carrier shall present such proof by submitting a written statement under
penalty of perjury stating the basis for removal of the listing, along with the
accompanying documentation specified in subsections (2) and (3), as applicable,
by mail to the Labor Commissioner''s Office, Attn: SB 1402 Proof of Payment or
Settlement, 1500 Hughes Way, Suite C-202, Long Beach, CA 90810, or electronically
in pdf format via email to: [email protected]. (2) For purposes of sufficiently
documenting the payment or satisfaction of a judgment, tax assessment, or tax
lien or a citation or ODA, the port drayage motor carrier shall identify and provide
the documentation required under Section 13878, as applicable. (3) For purposes
of sufficiently documenting a disposition regarding a port drayage motor carrier
who is a prior offender who prevailed on appeal from a subsequent non-final judgment
or ruling or final citation or ODA, the motor carrier shall identify and provide
a conformed copy of the final judgment, ruling, citation, tax assessment, tax,
order, decision, or award which indicates the final disposition on the appeal.
(4) The port drayage motor carrier shall also provide documentation to show that
violations of any labor or employment law or regulation subject to a final judgment
or final citation or ODA have been sufficiently abated. This documentation shall
include: a statement under penalty of perjury that the port drayage motor carrier
does not currently engage in the labor practices identified as unlawful in the
final judgment, final citation or ODA, and a description of the steps the motor
carrier took to abate the violation(s). Subject to the Labor Commissioner''s request,
the agency may determine whether an applicable violation was abated by reviewing
any documents the motor carrier is required to maintain under the Labor Code,
wage orders, or any other applicable law. (b) The Labor Commissioner''s Office
will inform the port drayage motor carrier by letter of the agency''s determination
of whether the motor carrier has presented sufficient proof to merit removal from
the public list. (c) If a port drayage motor carrier on the public list has multiple
liability determinations posted on the public list, a separate request for removal
must be provided for each determination. Each removal request will be considered
individually and only the liability determination that is the subject of that
removal request may be removed.'
- text: '(Repealed). Author: Michael E. Mason, CPA'
inference: true
---
# SetFit
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.
## Model Details
### Model Description
- **Model Type:** SetFit
<!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
- **Maximum Sequence Length:** 512 tokens
- **Number of Classes:** 5000 classes
<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->
### Model Sources
- **Repository:** [SetFit on GitHub](https://github.com/huggingface/setfit)
- **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
## Uses
### Direct Use for Inference
First install the SetFit library:
```bash
pip install setfit
```
Then you can load this model and run inference.
```python
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("rkoh/setfit-bert")
# Run inference
preds = model("(Repealed). Author: Michael E. Mason, CPA")
```
<!--
### Downstream Use
*List how someone could finetune this model on their own dataset.*
-->
<!--
### Out-of-Scope Use
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
-->
<!--
## Bias, Risks and Limitations
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
-->
<!--
### Recommendations
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
-->
## Training Details
### Training Set Metrics
| Training set | Min | Median | Max |
|:-------------|:----------|:-----------------|:--------------|
| Word count | tensor(1) | tensor(370.1842) | tensor(52538) |
| Label | Training Sample Count |
|:-------------------------------|:----------------------|
| Purpose - Regulatory Objective | 0 |
| Scope and Applicability | 0 |
| Authority and Legal Basis | 0 |
| Administrative Details | 0 |
| Non-Purpose | 0 |
### Training Hyperparameters
- batch_size: (32, 32)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- num_iterations: 20
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- l2_weight: 0.01
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: True
### Training Results
| Epoch | Step | Training Loss | Validation Loss |
|:------:|:----:|:-------------:|:---------------:|
| 0.0002 | 1 | 0.1006 | - |
| 0.0016 | 10 | 0.0759 | - |
| 0.0032 | 20 | 0.0767 | - |
| 0.0048 | 30 | 0.0852 | - |
| 0.0064 | 40 | 0.0765 | - |
| 0.008 | 50 | 0.078 | - |
| 0.0096 | 60 | 0.0734 | - |
| 0.0112 | 70 | 0.0687 | - |
| 0.0128 | 80 | 0.0566 | - |
| 0.0144 | 90 | 0.065 | - |
| 0.016 | 100 | 0.0583 | - |
| 0.0176 | 110 | 0.0584 | - |
| 0.0192 | 120 | 0.0466 | - |
| 0.0208 | 130 | 0.0661 | - |
| 0.0224 | 140 | 0.0583 | - |
| 0.024 | 150 | 0.0494 | - |
| 0.0256 | 160 | 0.0451 | - |
| 0.0272 | 170 | 0.0443 | - |
| 0.0288 | 180 | 0.0409 | - |
| 0.0304 | 190 | 0.0513 | - |
| 0.032 | 200 | 0.0415 | - |
| 0.0336 | 210 | 0.0413 | - |
| 0.0352 | 220 | 0.0478 | - |
| 0.0368 | 230 | 0.0319 | - |
| 0.0384 | 240 | 0.0273 | - |
| 0.04 | 250 | 0.0418 | - |
| 0.0416 | 260 | 0.0415 | - |
| 0.0432 | 270 | 0.0454 | - |
| 0.0448 | 280 | 0.0333 | - |
| 0.0464 | 290 | 0.0341 | - |
| 0.048 | 300 | 0.0504 | - |
| 0.0496 | 310 | 0.0296 | - |
| 0.0512 | 320 | 0.0293 | - |
| 0.0528 | 330 | 0.0263 | - |
| 0.0544 | 340 | 0.0292 | - |
| 0.056 | 350 | 0.0394 | - |
| 0.0576 | 360 | 0.0246 | - |
| 0.0592 | 370 | 0.0419 | - |
| 0.0608 | 380 | 0.0251 | - |
| 0.0624 | 390 | 0.02 | - |
| 0.064 | 400 | 0.0397 | - |
| 0.0656 | 410 | 0.0151 | - |
| 0.0672 | 420 | 0.0312 | - |
| 0.0688 | 430 | 0.0336 | - |
| 0.0704 | 440 | 0.0194 | - |
| 0.072 | 450 | 0.0251 | - |
| 0.0736 | 460 | 0.0167 | - |
| 0.0752 | 470 | 0.0203 | - |
| 0.0768 | 480 | 0.0158 | - |
| 0.0784 | 490 | 0.0165 | - |
| 0.08 | 500 | 0.0181 | - |
| 0.0816 | 510 | 0.0153 | - |
| 0.0832 | 520 | 0.0301 | - |
| 0.0848 | 530 | 0.0243 | - |
| 0.0864 | 540 | 0.0271 | - |
| 0.088 | 550 | 0.0185 | - |
| 0.0896 | 560 | 0.0221 | - |
| 0.0912 | 570 | 0.0171 | - |
| 0.0928 | 580 | 0.0284 | - |
| 0.0944 | 590 | 0.0335 | - |
| 0.096 | 600 | 0.0163 | - |
| 0.0976 | 610 | 0.0199 | - |
| 0.0992 | 620 | 0.0212 | - |
| 0.1008 | 630 | 0.0253 | - |
| 0.1024 | 640 | 0.0173 | - |
| 0.104 | 650 | 0.0376 | - |
| 0.1056 | 660 | 0.0135 | - |
| 0.1072 | 670 | 0.0216 | - |
| 0.1088 | 680 | 0.0279 | - |
| 0.1104 | 690 | 0.0126 | - |
| 0.112 | 700 | 0.0144 | - |
| 0.1136 | 710 | 0.0149 | - |
| 0.1152 | 720 | 0.0186 | - |
| 0.1168 | 730 | 0.0084 | - |
| 0.1184 | 740 | 0.0231 | - |
| 0.12 | 750 | 0.0152 | - |
| 0.1216 | 760 | 0.0174 | - |
| 0.1232 | 770 | 0.0235 | - |
| 0.1248 | 780 | 0.0144 | - |
| 0.1264 | 790 | 0.0081 | - |
| 0.128 | 800 | 0.0209 | - |
| 0.1296 | 810 | 0.014 | - |
| 0.1312 | 820 | 0.0208 | - |
| 0.1328 | 830 | 0.0146 | - |
| 0.1344 | 840 | 0.0159 | - |
| 0.136 | 850 | 0.0119 | - |
| 0.1376 | 860 | 0.0251 | - |
| 0.1392 | 870 | 0.0153 | - |
| 0.1408 | 880 | 0.0077 | - |
| 0.1424 | 890 | 0.0136 | - |
| 0.144 | 900 | 0.0131 | - |
| 0.1456 | 910 | 0.0058 | - |
| 0.1472 | 920 | 0.0146 | - |
| 0.1488 | 930 | 0.0186 | - |
| 0.1504 | 940 | 0.014 | - |
| 0.152 | 950 | 0.0127 | - |
| 0.1536 | 960 | 0.0074 | - |
| 0.1552 | 970 | 0.0246 | - |
| 0.1568 | 980 | 0.0137 | - |
| 0.1584 | 990 | 0.0061 | - |
| 0.16 | 1000 | 0.0067 | - |
| 0.1616 | 1010 | 0.0125 | - |
| 0.1632 | 1020 | 0.01 | - |
| 0.1648 | 1030 | 0.0116 | - |
| 0.1664 | 1040 | 0.0098 | - |
| 0.168 | 1050 | 0.0116 | - |
| 0.1696 | 1060 | 0.0051 | - |
| 0.1712 | 1070 | 0.0014 | - |
| 0.1728 | 1080 | 0.0056 | - |
| 0.1744 | 1090 | 0.0009 | - |
| 0.176 | 1100 | 0.0074 | - |
| 0.1776 | 1110 | 0.0019 | - |
| 0.1792 | 1120 | 0.0022 | - |
| 0.1808 | 1130 | 0.0063 | - |
| 0.1824 | 1140 | 0.0059 | - |
| 0.184 | 1150 | 0.0065 | - |
| 0.1856 | 1160 | 0.0151 | - |
| 0.1872 | 1170 | 0.0034 | - |
| 0.1888 | 1180 | 0.0033 | - |
| 0.1904 | 1190 | 0.0085 | - |
| 0.192 | 1200 | 0.0041 | - |
| 0.1936 | 1210 | 0.0084 | - |
| 0.1952 | 1220 | 0.004 | - |
| 0.1968 | 1230 | 0.0148 | - |
| 0.1984 | 1240 | 0.0111 | - |
| 0.2 | 1250 | 0.0125 | - |
| 0.2016 | 1260 | 0.0086 | - |
| 0.2032 | 1270 | 0.0042 | - |
| 0.2048 | 1280 | 0.0041 | - |
| 0.2064 | 1290 | 0.0078 | - |
| 0.208 | 1300 | 0.0042 | - |
| 0.2096 | 1310 | 0.0078 | - |
| 0.2112 | 1320 | 0.0065 | - |
| 0.2128 | 1330 | 0.0079 | - |
| 0.2144 | 1340 | 0.0157 | - |
| 0.216 | 1350 | 0.0086 | - |
| 0.2176 | 1360 | 0.0057 | - |
| 0.2192 | 1370 | 0.0025 | - |
| 0.2208 | 1380 | 0.0057 | - |
| 0.2224 | 1390 | 0.0051 | - |
| 0.224 | 1400 | 0.0054 | - |
| 0.2256 | 1410 | 0.0048 | - |
| 0.2272 | 1420 | 0.01 | - |
| 0.2288 | 1430 | 0.0087 | - |
| 0.2304 | 1440 | 0.0053 | - |
| 0.232 | 1450 | 0.0046 | - |
| 0.2336 | 1460 | 0.004 | - |
| 0.2352 | 1470 | 0.0062 | - |
| 0.2368 | 1480 | 0.0088 | - |
| 0.2384 | 1490 | 0.0093 | - |
| 0.24 | 1500 | 0.0005 | - |
| 0.2416 | 1510 | 0.0074 | - |
| 0.2432 | 1520 | 0.0042 | - |
| 0.2448 | 1530 | 0.0072 | - |
| 0.2464 | 1540 | 0.0007 | - |
| 0.248 | 1550 | 0.005 | - |
| 0.2496 | 1560 | 0.002 | - |
| 0.2512 | 1570 | 0.001 | - |
| 0.2528 | 1580 | 0.0062 | - |
| 0.2544 | 1590 | 0.0004 | - |
| 0.256 | 1600 | 0.0009 | - |
| 0.2576 | 1610 | 0.0041 | - |
| 0.2592 | 1620 | 0.0119 | - |
| 0.2608 | 1630 | 0.0011 | - |
| 0.2624 | 1640 | 0.0104 | - |
| 0.264 | 1650 | 0.0037 | - |
| 0.2656 | 1660 | 0.0005 | - |
| 0.2672 | 1670 | 0.004 | - |
| 0.2688 | 1680 | 0.0036 | - |
| 0.2704 | 1690 | 0.0037 | - |
| 0.272 | 1700 | 0.0013 | - |
| 0.2736 | 1710 | 0.0004 | - |
| 0.2752 | 1720 | 0.0006 | - |
| 0.2768 | 1730 | 0.0065 | - |
| 0.2784 | 1740 | 0.0033 | - |
| 0.28 | 1750 | 0.0009 | - |
| 0.2816 | 1760 | 0.0117 | - |
| 0.2832 | 1770 | 0.0033 | - |
| 0.2848 | 1780 | 0.0032 | - |
| 0.2864 | 1790 | 0.0037 | - |
| 0.288 | 1800 | 0.0022 | - |
| 0.2896 | 1810 | 0.0011 | - |
| 0.2912 | 1820 | 0.0006 | - |
| 0.2928 | 1830 | 0.0007 | - |
| 0.2944 | 1840 | 0.0054 | - |
| 0.296 | 1850 | 0.0007 | - |
| 0.2976 | 1860 | 0.0035 | - |
| 0.2992 | 1870 | 0.0038 | - |
| 0.3008 | 1880 | 0.0075 | - |
| 0.3024 | 1890 | 0.0017 | - |
| 0.304 | 1900 | 0.0005 | - |
| 0.3056 | 1910 | 0.0002 | - |
| 0.3072 | 1920 | 0.0002 | - |
| 0.3088 | 1930 | 0.0002 | - |
| 0.3104 | 1940 | 0.0033 | - |
| 0.312 | 1950 | 0.0085 | - |
| 0.3136 | 1960 | 0.0004 | - |
| 0.3152 | 1970 | 0.0005 | - |
| 0.3168 | 1980 | 0.0002 | - |
| 0.3184 | 1990 | 0.003 | - |
| 0.32 | 2000 | 0.0007 | - |
| 0.3216 | 2010 | 0.0009 | - |
| 0.3232 | 2020 | 0.0003 | - |
| 0.3248 | 2030 | 0.0012 | - |
| 0.3264 | 2040 | 0.0086 | - |
| 0.328 | 2050 | 0.001 | - |
| 0.3296 | 2060 | 0.0009 | - |
| 0.3312 | 2070 | 0.0029 | - |
| 0.3328 | 2080 | 0.0033 | - |
| 0.3344 | 2090 | 0.0005 | - |
| 0.336 | 2100 | 0.0003 | - |
| 0.3376 | 2110 | 0.0033 | - |
| 0.3392 | 2120 | 0.0029 | - |
| 0.3408 | 2130 | 0.0001 | - |
| 0.3424 | 2140 | 0.0057 | - |
| 0.344 | 2150 | 0.0001 | - |
| 0.3456 | 2160 | 0.0002 | - |
| 0.3472 | 2170 | 0.004 | - |
| 0.3488 | 2180 | 0.002 | - |
| 0.3504 | 2190 | 0.0073 | - |
| 0.352 | 2200 | 0.0004 | - |
| 0.3536 | 2210 | 0.0006 | - |
| 0.3552 | 2220 | 0.0004 | - |
| 0.3568 | 2230 | 0.0032 | - |
| 0.3584 | 2240 | 0.007 | - |
| 0.36 | 2250 | 0.0096 | - |
| 0.3616 | 2260 | 0.0032 | - |
| 0.3632 | 2270 | 0.0006 | - |
| 0.3648 | 2280 | 0.0002 | - |
| 0.3664 | 2290 | 0.0032 | - |
| 0.368 | 2300 | 0.0002 | - |
| 0.3696 | 2310 | 0.0025 | - |
| 0.3712 | 2320 | 0.0002 | - |
| 0.3728 | 2330 | 0.0053 | - |
| 0.3744 | 2340 | 0.0017 | - |
| 0.376 | 2350 | 0.0013 | - |
| 0.3776 | 2360 | 0.0001 | - |
| 0.3792 | 2370 | 0.0032 | - |
| 0.3808 | 2380 | 0.0002 | - |
| 0.3824 | 2390 | 0.0019 | - |
| 0.384 | 2400 | 0.0015 | - |
| 0.3856 | 2410 | 0.0009 | - |
| 0.3872 | 2420 | 0.0006 | - |
| 0.3888 | 2430 | 0.0032 | - |
| 0.3904 | 2440 | 0.0033 | - |
| 0.392 | 2450 | 0.0003 | - |
| 0.3936 | 2460 | 0.0003 | - |
| 0.3952 | 2470 | 0.0016 | - |
| 0.3968 | 2480 | 0.0065 | - |
| 0.3984 | 2490 | 0.0011 | - |
| 0.4 | 2500 | 0.0032 | - |
| 0.4016 | 2510 | 0.0045 | - |
| 0.4032 | 2520 | 0.0001 | - |
| 0.4048 | 2530 | 0.0004 | - |
| 0.4064 | 2540 | 0.0001 | - |
| 0.408 | 2550 | 0.0027 | - |
| 0.4096 | 2560 | 0.0032 | - |
| 0.4112 | 2570 | 0.0034 | - |
| 0.4128 | 2580 | 0.0057 | - |
| 0.4144 | 2590 | 0.0029 | - |
| 0.416 | 2600 | 0.0008 | - |
| 0.4176 | 2610 | 0.0002 | - |
| 0.4192 | 2620 | 0.0033 | - |
| 0.4208 | 2630 | 0.0004 | - |
| 0.4224 | 2640 | 0.0057 | - |
| 0.424 | 2650 | 0.0001 | - |
| 0.4256 | 2660 | 0.0048 | - |
| 0.4272 | 2670 | 0.0043 | - |
| 0.4288 | 2680 | 0.0011 | - |
| 0.4304 | 2690 | 0.0053 | - |
| 0.432 | 2700 | 0.0001 | - |
| 0.4336 | 2710 | 0.0045 | - |
| 0.4352 | 2720 | 0.0032 | - |
| 0.4368 | 2730 | 0.0034 | - |
| 0.4384 | 2740 | 0.0031 | - |
| 0.44 | 2750 | 0.0065 | - |
| 0.4416 | 2760 | 0.0013 | - |
| 0.4432 | 2770 | 0.0027 | - |
| 0.4448 | 2780 | 0.0014 | - |
| 0.4464 | 2790 | 0.0036 | - |
| 0.448 | 2800 | 0.0009 | - |
| 0.4496 | 2810 | 0.0053 | - |
| 0.4512 | 2820 | 0.0001 | - |
| 0.4528 | 2830 | 0.0005 | - |
| 0.4544 | 2840 | 0.0006 | - |
| 0.456 | 2850 | 0.0015 | - |
| 0.4576 | 2860 | 0.0028 | - |
| 0.4592 | 2870 | 0.0006 | - |
| 0.4608 | 2880 | 0.0001 | - |
| 0.4624 | 2890 | 0.0024 | - |
| 0.464 | 2900 | 0.0012 | - |
| 0.4656 | 2910 | 0.0003 | - |
| 0.4672 | 2920 | 0.0028 | - |
| 0.4688 | 2930 | 0.0022 | - |
| 0.4704 | 2940 | 0.0002 | - |
| 0.472 | 2950 | 0.0006 | - |
| 0.4736 | 2960 | 0.0002 | - |
| 0.4752 | 2970 | 0.0034 | - |
| 0.4768 | 2980 | 0.0032 | - |
| 0.4784 | 2990 | 0.0001 | - |
| 0.48 | 3000 | 0.0001 | - |
| 0.4816 | 3010 | 0.0003 | - |
| 0.4832 | 3020 | 0.0001 | - |
| 0.4848 | 3030 | 0.0011 | - |
| 0.4864 | 3040 | 0.0001 | - |
| 0.488 | 3050 | 0.0003 | - |
| 0.4896 | 3060 | 0.0031 | - |
| 0.4912 | 3070 | 0.0032 | - |
| 0.4928 | 3080 | 0.0028 | - |
| 0.4944 | 3090 | 0.0032 | - |
| 0.496 | 3100 | 0.0002 | - |
| 0.4976 | 3110 | 0.0001 | - |
| 0.4992 | 3120 | 0.0008 | - |
| 0.5008 | 3130 | 0.0028 | - |
| 0.5024 | 3140 | 0.0001 | - |
| 0.504 | 3150 | 0.0001 | - |
| 0.5056 | 3160 | 0.0001 | - |
| 0.5072 | 3170 | 0.0007 | - |
| 0.5088 | 3180 | 0.0054 | - |
| 0.5104 | 3190 | 0.0001 | - |
| 0.512 | 3200 | 0.0001 | - |
| 0.5136 | 3210 | 0.0001 | - |
| 0.5152 | 3220 | 0.0001 | - |
| 0.5168 | 3230 | 0.0027 | - |
| 0.5184 | 3240 | 0.0001 | - |
| 0.52 | 3250 | 0.0028 | - |
| 0.5216 | 3260 | 0.0001 | - |
| 0.5232 | 3270 | 0.0001 | - |
| 0.5248 | 3280 | 0.0007 | - |
| 0.5264 | 3290 | 0.0001 | - |
| 0.528 | 3300 | 0.0001 | - |
| 0.5296 | 3310 | 0.0001 | - |
| 0.5312 | 3320 | 0.0001 | - |
| 0.5328 | 3330 | 0.004 | - |
| 0.5344 | 3340 | 0.0001 | - |
| 0.536 | 3350 | 0.0049 | - |
| 0.5376 | 3360 | 0.0034 | - |
| 0.5392 | 3370 | 0.0004 | - |
| 0.5408 | 3380 | 0.0001 | - |
| 0.5424 | 3390 | 0.001 | - |
| 0.544 | 3400 | 0.0023 | - |
| 0.5456 | 3410 | 0.0019 | - |
| 0.5472 | 3420 | 0.0001 | - |
| 0.5488 | 3430 | 0.0027 | - |
| 0.5504 | 3440 | 0.0002 | - |
| 0.552 | 3450 | 0.0016 | - |
| 0.5536 | 3460 | 0.0001 | - |
| 0.5552 | 3470 | 0.0001 | - |
| 0.5568 | 3480 | 0.0005 | - |
| 0.5584 | 3490 | 0.0 | - |
| 0.56 | 3500 | 0.0001 | - |
| 0.5616 | 3510 | 0.0001 | - |
| 0.5632 | 3520 | 0.0001 | - |
| 0.5648 | 3530 | 0.0001 | - |
| 0.5664 | 3540 | 0.003 | - |
| 0.568 | 3550 | 0.0001 | - |
| 0.5696 | 3560 | 0.0002 | - |
| 0.5712 | 3570 | 0.0001 | - |
| 0.5728 | 3580 | 0.0001 | - |
| 0.5744 | 3590 | 0.0002 | - |
| 0.576 | 3600 | 0.0 | - |
| 0.5776 | 3610 | 0.0001 | - |
| 0.5792 | 3620 | 0.0034 | - |
| 0.5808 | 3630 | 0.0001 | - |
| 0.5824 | 3640 | 0.0001 | - |
| 0.584 | 3650 | 0.0001 | - |
| 0.5856 | 3660 | 0.0001 | - |
| 0.5872 | 3670 | 0.0003 | - |
| 0.5888 | 3680 | 0.0031 | - |
| 0.5904 | 3690 | 0.0001 | - |
| 0.592 | 3700 | 0.0001 | - |
| 0.5936 | 3710 | 0.003 | - |
| 0.5952 | 3720 | 0.0002 | - |
| 0.5968 | 3730 | 0.0031 | - |
| 0.5984 | 3740 | 0.0001 | - |
| 0.6 | 3750 | 0.0035 | - |
| 0.6016 | 3760 | 0.0001 | - |
| 0.6032 | 3770 | 0.003 | - |
| 0.6048 | 3780 | 0.0033 | - |
| 0.6064 | 3790 | 0.0026 | - |
| 0.608 | 3800 | 0.0024 | - |
| 0.6096 | 3810 | 0.0002 | - |
| 0.6112 | 3820 | 0.0001 | - |
| 0.6128 | 3830 | 0.0001 | - |
| 0.6144 | 3840 | 0.0001 | - |
| 0.616 | 3850 | 0.0001 | - |
| 0.6176 | 3860 | 0.0022 | - |
| 0.6192 | 3870 | 0.0001 | - |
| 0.6208 | 3880 | 0.0004 | - |
| 0.6224 | 3890 | 0.0066 | - |
| 0.624 | 3900 | 0.0033 | - |
| 0.6256 | 3910 | 0.0001 | - |
| 0.6272 | 3920 | 0.0001 | - |
| 0.6288 | 3930 | 0.0001 | - |
| 0.6304 | 3940 | 0.0032 | - |
| 0.632 | 3950 | 0.0003 | - |
| 0.6336 | 3960 | 0.0031 | - |
| 0.6352 | 3970 | 0.0001 | - |
| 0.6368 | 3980 | 0.0001 | - |
| 0.6384 | 3990 | 0.0001 | - |
| 0.64 | 4000 | 0.0001 | - |
| 0.6416 | 4010 | 0.0003 | - |
| 0.6432 | 4020 | 0.0001 | - |
| 0.6448 | 4030 | 0.0029 | - |
| 0.6464 | 4040 | 0.0001 | - |
| 0.648 | 4050 | 0.0001 | - |
| 0.6496 | 4060 | 0.0029 | - |
| 0.6512 | 4070 | 0.0001 | - |
| 0.6528 | 4080 | 0.0001 | - |
| 0.6544 | 4090 | 0.0001 | - |
| 0.656 | 4100 | 0.0001 | - |
| 0.6576 | 4110 | 0.0001 | - |
| 0.6592 | 4120 | 0.0001 | - |
| 0.6608 | 4130 | 0.0001 | - |
| 0.6624 | 4140 | 0.0001 | - |
| 0.664 | 4150 | 0.0001 | - |
| 0.6656 | 4160 | 0.0023 | - |
| 0.6672 | 4170 | 0.0002 | - |
| 0.6688 | 4180 | 0.0002 | - |
| 0.6704 | 4190 | 0.0014 | - |
| 0.672 | 4200 | 0.0004 | - |
| 0.6736 | 4210 | 0.0035 | - |
| 0.6752 | 4220 | 0.0001 | - |
| 0.6768 | 4230 | 0.0005 | - |
| 0.6784 | 4240 | 0.0001 | - |
| 0.68 | 4250 | 0.0029 | - |
| 0.6816 | 4260 | 0.0001 | - |
| 0.6832 | 4270 | 0.0001 | - |
| 0.6848 | 4280 | 0.0001 | - |
| 0.6864 | 4290 | 0.0001 | - |
| 0.688 | 4300 | 0.0003 | - |
| 0.6896 | 4310 | 0.0002 | - |
| 0.6912 | 4320 | 0.0001 | - |
| 0.6928 | 4330 | 0.0 | - |
| 0.6944 | 4340 | 0.0 | - |
| 0.696 | 4350 | 0.0 | - |
| 0.6976 | 4360 | 0.0001 | - |
| 0.6992 | 4370 | 0.0 | - |
| 0.7008 | 4380 | 0.0 | - |
| 0.7024 | 4390 | 0.0 | - |
| 0.704 | 4400 | 0.0 | - |
| 0.7056 | 4410 | 0.0 | - |
| 0.7072 | 4420 | 0.0 | - |
| 0.7088 | 4430 | 0.0 | - |
| 0.7104 | 4440 | 0.0001 | - |
| 0.712 | 4450 | 0.0001 | - |
| 0.7136 | 4460 | 0.0 | - |
| 0.7152 | 4470 | 0.0 | - |
| 0.7168 | 4480 | 0.0001 | - |
| 0.7184 | 4490 | 0.0 | - |
| 0.72 | 4500 | 0.0 | - |
| 0.7216 | 4510 | 0.0 | - |
| 0.7232 | 4520 | 0.0 | - |
| 0.7248 | 4530 | 0.0 | - |
| 0.7264 | 4540 | 0.0001 | - |
| 0.728 | 4550 | 0.0058 | - |
| 0.7296 | 4560 | 0.0001 | - |
| 0.7312 | 4570 | 0.0002 | - |
| 0.7328 | 4580 | 0.0001 | - |
| 0.7344 | 4590 | 0.0 | - |
| 0.736 | 4600 | 0.0001 | - |
| 0.7376 | 4610 | 0.0001 | - |
| 0.7392 | 4620 | 0.0 | - |
| 0.7408 | 4630 | 0.0002 | - |
| 0.7424 | 4640 | 0.0 | - |
| 0.744 | 4650 | 0.0 | - |
| 0.7456 | 4660 | 0.0004 | - |
| 0.7472 | 4670 | 0.0 | - |
| 0.7488 | 4680 | 0.0001 | - |
| 0.7504 | 4690 | 0.0 | - |
| 0.752 | 4700 | 0.0 | - |
| 0.7536 | 4710 | 0.0001 | - |
| 0.7552 | 4720 | 0.0001 | - |
| 0.7568 | 4730 | 0.0 | - |
| 0.7584 | 4740 | 0.0037 | - |
| 0.76 | 4750 | 0.0001 | - |
| 0.7616 | 4760 | 0.0032 | - |
| 0.7632 | 4770 | 0.0 | - |
| 0.7648 | 4780 | 0.0 | - |
| 0.7664 | 4790 | 0.0001 | - |
| 0.768 | 4800 | 0.0031 | - |
| 0.7696 | 4810 | 0.0001 | - |
| 0.7712 | 4820 | 0.0002 | - |
| 0.7728 | 4830 | 0.0 | - |
| 0.7744 | 4840 | 0.0001 | - |
| 0.776 | 4850 | 0.0001 | - |
| 0.7776 | 4860 | 0.0002 | - |
| 0.7792 | 4870 | 0.0 | - |
| 0.7808 | 4880 | 0.0 | - |
| 0.7824 | 4890 | 0.0001 | - |
| 0.784 | 4900 | 0.0 | - |
| 0.7856 | 4910 | 0.0 | - |
| 0.7872 | 4920 | 0.0001 | - |
| 0.7888 | 4930 | 0.0 | - |
| 0.7904 | 4940 | 0.0 | - |
| 0.792 | 4950 | 0.0001 | - |
| 0.7936 | 4960 | 0.0 | - |
| 0.7952 | 4970 | 0.0001 | - |
| 0.7968 | 4980 | 0.0 | - |
| 0.7984 | 4990 | 0.0029 | - |
| 0.8 | 5000 | 0.0001 | - |
| 0.8016 | 5010 | 0.0 | - |
| 0.8032 | 5020 | 0.0001 | - |
| 0.8048 | 5030 | 0.0005 | - |
| 0.8064 | 5040 | 0.0 | - |
| 0.808 | 5050 | 0.0 | - |
| 0.8096 | 5060 | 0.0014 | - |
| 0.8112 | 5070 | 0.0031 | - |
| 0.8128 | 5080 | 0.0 | - |
| 0.8144 | 5090 | 0.0001 | - |
| 0.816 | 5100 | 0.0 | - |
| 0.8176 | 5110 | 0.0001 | - |
| 0.8192 | 5120 | 0.0001 | - |
| 0.8208 | 5130 | 0.0 | - |
| 0.8224 | 5140 | 0.0 | - |
| 0.824 | 5150 | 0.0001 | - |
| 0.8256 | 5160 | 0.0 | - |
| 0.8272 | 5170 | 0.0 | - |
| 0.8288 | 5180 | 0.0 | - |
| 0.8304 | 5190 | 0.0006 | - |
| 0.832 | 5200 | 0.006 | - |
| 0.8336 | 5210 | 0.0032 | - |
| 0.8352 | 5220 | 0.0001 | - |
| 0.8368 | 5230 | 0.0 | - |
| 0.8384 | 5240 | 0.0 | - |
| 0.84 | 5250 | 0.0 | - |
| 0.8416 | 5260 | 0.0031 | - |
| 0.8432 | 5270 | 0.0001 | - |
| 0.8448 | 5280 | 0.0017 | - |
| 0.8464 | 5290 | 0.0009 | - |
| 0.848 | 5300 | 0.0001 | - |
| 0.8496 | 5310 | 0.0001 | - |
| 0.8512 | 5320 | 0.0004 | - |
| 0.8528 | 5330 | 0.0 | - |
| 0.8544 | 5340 | 0.003 | - |
| 0.856 | 5350 | 0.0002 | - |
| 0.8576 | 5360 | 0.0001 | - |
| 0.8592 | 5370 | 0.0001 | - |
| 0.8608 | 5380 | 0.0 | - |
| 0.8624 | 5390 | 0.0001 | - |
| 0.864 | 5400 | 0.0001 | - |
| 0.8656 | 5410 | 0.0 | - |
| 0.8672 | 5420 | 0.0 | - |
| 0.8688 | 5430 | 0.0001 | - |
| 0.8704 | 5440 | 0.0 | - |
| 0.872 | 5450 | 0.0 | - |
| 0.8736 | 5460 | 0.0 | - |
| 0.8752 | 5470 | 0.0001 | - |
| 0.8768 | 5480 | 0.0 | - |
| 0.8784 | 5490 | 0.0 | - |
| 0.88 | 5500 | 0.0 | - |
| 0.8816 | 5510 | 0.0001 | - |
| 0.8832 | 5520 | 0.0 | - |
| 0.8848 | 5530 | 0.0 | - |
| 0.8864 | 5540 | 0.0 | - |
| 0.888 | 5550 | 0.0031 | - |
| 0.8896 | 5560 | 0.0 | - |
| 0.8912 | 5570 | 0.0001 | - |
| 0.8928 | 5580 | 0.0 | - |
| 0.8944 | 5590 | 0.0 | - |
| 0.896 | 5600 | 0.0 | - |
| 0.8976 | 5610 | 0.0001 | - |
| 0.8992 | 5620 | 0.0 | - |
| 0.9008 | 5630 | 0.0002 | - |
| 0.9024 | 5640 | 0.0031 | - |
| 0.904 | 5650 | 0.0 | - |
| 0.9056 | 5660 | 0.0 | - |
| 0.9072 | 5670 | 0.0 | - |
| 0.9088 | 5680 | 0.0001 | - |
| 0.9104 | 5690 | 0.0 | - |
| 0.912 | 5700 | 0.0 | - |
| 0.9136 | 5710 | 0.0 | - |
| 0.9152 | 5720 | 0.0032 | - |
| 0.9168 | 5730 | 0.0001 | - |
| 0.9184 | 5740 | 0.0024 | - |
| 0.92 | 5750 | 0.0 | - |
| 0.9216 | 5760 | 0.0 | - |
| 0.9232 | 5770 | 0.0017 | - |
| 0.9248 | 5780 | 0.0 | - |
| 0.9264 | 5790 | 0.0001 | - |
| 0.928 | 5800 | 0.0001 | - |
| 0.9296 | 5810 | 0.0 | - |
| 0.9312 | 5820 | 0.0 | - |
| 0.9328 | 5830 | 0.0 | - |
| 0.9344 | 5840 | 0.0 | - |
| 0.936 | 5850 | 0.0 | - |
| 0.9376 | 5860 | 0.0031 | - |
| 0.9392 | 5870 | 0.0 | - |
| 0.9408 | 5880 | 0.0 | - |
| 0.9424 | 5890 | 0.0 | - |
| 0.944 | 5900 | 0.0031 | - |
| 0.9456 | 5910 | 0.0 | - |
| 0.9472 | 5920 | 0.0 | - |
| 0.9488 | 5930 | 0.0 | - |
| 0.9504 | 5940 | 0.0 | - |
| 0.952 | 5950 | 0.0 | - |
| 0.9536 | 5960 | 0.0001 | - |
| 0.9552 | 5970 | 0.0 | - |
| 0.9568 | 5980 | 0.0 | - |
| 0.9584 | 5990 | 0.0031 | - |
| 0.96 | 6000 | 0.0001 | - |
| 0.9616 | 6010 | 0.0 | - |
| 0.9632 | 6020 | 0.0 | - |
| 0.9648 | 6030 | 0.0 | - |
| 0.9664 | 6040 | 0.0 | - |
| 0.968 | 6050 | 0.0 | - |
| 0.9696 | 6060 | 0.0 | - |
| 0.9712 | 6070 | 0.0 | - |
| 0.9728 | 6080 | 0.0027 | - |
| 0.9744 | 6090 | 0.0 | - |
| 0.976 | 6100 | 0.0031 | - |
| 0.9776 | 6110 | 0.003 | - |
| 0.9792 | 6120 | 0.0 | - |
| 0.9808 | 6130 | 0.0 | - |
| 0.9824 | 6140 | 0.0 | - |
| 0.984 | 6150 | 0.0 | - |
| 0.9856 | 6160 | 0.0 | - |
| 0.9872 | 6170 | 0.0 | - |
| 0.9888 | 6180 | 0.0028 | - |
| 0.9904 | 6190 | 0.0 | - |
| 0.992 | 6200 | 0.0 | - |
| 0.9936 | 6210 | 0.0 | - |
| 0.9952 | 6220 | 0.0 | - |
| 0.9968 | 6230 | 0.0 | - |
| 0.9984 | 6240 | 0.0 | - |
| 1.0 | 6250 | 0.0 | 0.0479 |
### Framework Versions
- Python: 3.10.12
- SetFit: 1.1.0
- Sentence Transformers: 3.2.0
- Transformers: 4.44.2
- PyTorch: 2.4.1+cu121
- Datasets: 3.0.1
- Tokenizers: 0.19.1
## Citation
### BibTeX
```bibtex
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
```
<!--
## Glossary
*Clearly define terms in order to be accessible across audiences.*
-->
<!--
## Model Card Authors
*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
-->
<!--
## Model Card Contact
*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
--> |